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Getting Started

Why Giskard?
Quickstart
Key vulnerabilities
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Guides

📥 Install the Giskard Python Library
📦 Wrap your dataset
🎁 Wrap your ML model
🔍 Scan your ML model
🔪 Identify data slices
🔄 Define data transformations
🧪 Test your ML model
🗣️Talk to your model
🚀 Execute your test suite in your CI/CD pipeline
🌐 Run the Giskard Server
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⬆️ Upload an object to the Giskard server
🧑‍💻Contribute to Giskard
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Tutorials

By ML libraries
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- Scikit-learn
- XGBoost
- LightGBM
- TensorFlow
- PyTorch
- HuggingFace
- LangChain
- API
By ML tasks
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By data types
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- Tabular
- Text

Reference

API reference
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- Command-line interface
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  - Setup a ngrok account
- Models
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- Dataset
- Tests
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- Test suite
- Slicing functions
- Transformation functions
- Push feature
Catalog
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- 📖 Test catalog
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  - Classification tests
  - Regression tests
- 🔪 Slicing function catalog
- 🪄 Transformation function catalog

Integrations

Integrations
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- MLflow
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  - MLFlow Example - Tabular
  - MLFlow Example - LLM
- Weights and Biases
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  - Notebook Example - Tabular
- Giskard on HF Spaces

v: latest

Versions: latest; stable

Downloads

On Read the Docs: Project Home; Builds

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XGBoost#

🏥 Breast cancer detection

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